• Journal of Korean Library and Information Science Society
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• v.52 no.2
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• pp.379-400
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• 2021

This study aims to analyze the trend of library use according to the expansion of public library infrastructure in Korea, and to search for new roles and services of libraries based on the results of the study. Using the statistical analysis, literature review and partially interview method, the number of borrowers and loans from 2009 to 2019 were analyzed. The result of the survey reveals that the number of public libraries increased by 61.3% during the survey period, while the number of borrowers decreased by 57.5%, and the number of book loans increased only by 18.2%. The result of the analysis claims that the causes of the decrease in the number of materials borrowers were an error in the process of inputting statistics and manipulating the number of book loans by the local library. The population of children and young adults decreased during the survey period, which led to a decrease in the number of children and young adult borrowers. The result of the study reveals that the increase in the use of public libraries in Korea, like other advanced countries, is stagnant. The following new roles and services are suggested for the development of public libraries: Libraries expand non-face-to-face services and electronic resources, and promote their use. Libraries expand cultural and lifelong learning programs further.

• The Journal of the Korea Contents Association
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• v.21 no.9
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• pp.771-789
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• 2021

This study aims to examine the experiences and behaviors of youth's stock investment with credit loans. Using a qualitative case study method (Creswell, 2015), we interviewed 7 young investors. As a result of the analysis, based on the research method within the case, it was possible to find out the process and reasons for how the participants had credit loan experience and invested in stocks. In addition, 19 common categories could be derived from this. Further analyses classified the process as "start of stock investment", "immersion into the investment", "stock investment through credit loans", and "consequence of stock investment with credit loans". The study concludes with several policy implications and suggestions for future studies.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.12
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• pp.7060-7067
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• 2014

The reading activity of university students is the key element for the cultivation of creative human resources, and each university develops and performs the various cultural education and library program. Actually, the university libraries check the service periodically through library satisfaction surveys and the library user's actual condition survey to improve it, but the amount of reading, number of books lent and the rate of borrowers are still under expectation. Therefore, in this research, an in-depth analysis of lending books data for freshmen, as the service improvement and revitalization measures of university libraries for students, suggested the following: (1) the early education for the library users, (2) the opening of the students-participating library collections, (3) the use of the data using a library for the consulting with students (4) the establishment of the library depositary for education support, and (5) the introduction of the library CRM for individual student. Through this result, it would be substantially helpful for each university library (including two-year college), in which the number of lending books and the rate of borrowers are below expectations.

• Journal of Labour Economics
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• v.27 no.1
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• pp.77-105
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• 2004

Given the limitations of UI benefit and self-insurance through precautionary savings, this paper suggests a new scheme of income support for the unemployed, which offers unemployed workers not only UI benefit but also borrowings from their future pension incomes. Allowing individuals to have effective self-insurance through pension- borrowing, this scheme provides them with consumption-smoothing and reduction in risk burden while maintaining search incentives of the unemployed. Simulation study based upon household panel data in Korea suggests that a heavy reliance should be set upon self-insurance through pension-borrowings rather than upon UI benefit, even for the low-income individuals who are subsidized under UI system. This result provides us with insightful implications for a social safety net in (fast-growing) developing countries, where people cannot afford a good amount of UI benefit or of precautionary savings against unemployment although they expect their incomes to be much higher in the future. Indeed, it is consumption-smoothing effect of self-insurance through pension- borrowings, as well as its incentive-maintaining effect, that makes it a promising alternative of social safety net in developing countries.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.5
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• pp.229-238
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• 2019

Before the scholarship loan system was implemented at the Korea Scholarship Foundation, the government's role was strengthened by the direct lending of student funds to banks and other financial institutions. However, the low repayment performance of student loans has raised concerns over the future of student loans and the government's financial burden. Moreover, since student loans are repaid even after graduating from college to support low-income families, it is highly unlikely that the repayment rate of student loans will improve unless the employment rate and income level of the borrower improve. In this paper, the final visualization graph is presented of the repayment amount of the student loan through the collection, storage, processing and analysis phase in the Big Data-based system. This could be the basis for visually checking the amount of student loans to come up with various ways to reduce the burden on the current student loan system.

• 한국벤처창업학회:학술대회논문집
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• 2018.04a
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• pp.67-74
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• 2018

소상공인 창업자들이 자금조달의 대부분을 은행 대출에 의존하고 있는 가운데 소규모 자금 조달을 필요로 하는 이들을 위해 핀테크 기반의 새로운 금융서비스를 통해 소상공인 창업자의 금융 공급을 확산할 필요가 있다. 이러한 환경 변화 패러다임에서 본 연구는 빅데이터와 핀테크 솔루션의 활용이 소상공인의 매출과 금융지원에 미치는 영향을 살펴보기 위해 실제로 공공과 민간의 상권빅데이터자료를 수집하여 분석을 수행하였다. 이를 통해 소상공인에 대한 금융혜택 증대를 위한 사업장의 매출증대 등 소상공인 창업자의 사업성 평가에 필요한 주요변수들을 상권빅데이터를 실증적으로 분석하여 효과성을 검증하는 것이 본 연구의 목적이다. 특히 자금의 대부분을 정책자금을 통해 조달하는 소상공인들이 일반 은행에서도 중소기업 대출의 하나로 비중 있게 이루어질 수 있도록 기존에 활용되지 못한 빅데이터 변수들을 탐색하여 소상공인의 경쟁력 향상을 위한 효율적인 금융지원이 가능함을 확인하고자 하였다. 본 연구에서는 소상공인 창업자의 대출 등 금융지원 확대를 위한 사업성 평가에 상권빅데이터의 활용 가능성이 있는지를 중심으로 문헌적 연구방법 연구와 실증적 분석을 병행하였다. 본 연구는 핀테크와 빅데이터의 활용이 향후 소상공인 자금 조달의 발전 방향이 어떻게 되어야하는지를 모색해야하며, 소상공인을 포함하는 중소기업 신용평가방식의 발전 방향을 구체적으로 모색되어야 할 시점임을 의미하고 있다.

• Journal of the Korean Data and Information Science Society
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• v.26 no.6
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• pp.1417-1426
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• 2015

We develop the high risk group predictive model for loan default by utilizing the direct loan data from 2012 to 2014 of the Korea Student Aid Foundation. We perform the decision tree analysis using the data mining methodology and use SAS Enterprise Miner 13.2. As a result of this model, subject types were classified into 25 types. This study shows that the major influencing factors for the loan default are household income, national grant, age, overdue record, level of schooling, field of study, monthly repayment. The high risk group predictive model in this study will be the basis for segmented management service for preventing loan default.

• Journal of the Korean Data and Information Science Society
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• v.27 no.5
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• pp.1293-1305
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• 2016

In this paper, we develop debt collection predictive models for the person in arrears by utilizing the direct loan data of the Korea Student Aid Foundation. We suggest credit risk scorecards for overdue student direct loan using the developed 3 models. Model 1 is designed for 1 month overdue, Model 2 is designed for 2 months overdue, and Model 3 is designed for overdue over 2 months. Model 1 shows that the major influencing factors for the delinquency are overdue account, due data for payment, balance, household income. Model 2 shows that the major influencing factors for delinquency loan are days in arrears, balance, due date for payment, arrears. Model 3 shows that the major influencing factors for delinquency are the number of overdue in recent 3 months, due data for payment, overdue account, arrears. The debt collection predictive models and credit risk scorecards in this study will be the basis for segmented management service and the call & collection strategies for preventing delinquency.

• Industry Promotion Research
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• v.7 no.4
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• pp.109-119
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• 2022

In recent years, China's Internet finance industry is hot. There is no doubt that Internet finance has been fully integrated into China, forming a new form of financing, and rapidly becoming a new channel for investment and financing in China, shouldering the responsibility of inclusive financing and building China's real economy. However, with investment, there are risks. Based on the panel data of China's Internet financial platform, this paper uses the random effect model to study the influencing factors of Internet financial risks, and draws three conclusions: (1) The user funds and platform funds of the financial platform will be managed separately by the bank, which can effectively reduce the risk of financial transactions on the Internet; (2) The risk of Internet financial transactions can be effectively reduced by avoiding the concentration of platform funds in the hands of a few borrowers through regulatory policies; (3) The liquidity control of funds effectively reduces the risk of Internet financial transactions. Based on the conclusions, we propose optimization strategies for regulatory policies to achieve the healthy and sustainable development of Internet finance.

• The Journal of the Korea Contents Association
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• v.16 no.4
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• pp.691-704
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• 2016

This study aims to analyze the current situation of Independent loan fund business for disabled for independent and living stabilization of low-income disabled and presented a plan to support effectively. Methods were reanalyzed to obtain the data inside the Ministry of Health and Welfare and conducted a expert survey. The results of this study were First, The budget was 8.1 billion won and target households was 800, but the used budget was about 5.6 billion won(executive rate was 69.3%) and beneficiaries was 384 families. Second, the loan condition was gurantee is 58.5%, pawn is 23.3%, ungurantee is 18.2%. And, the loan type was occupation is 60.0%, car purchase is 35.3%, medical expenses is 2.6% and so on. In addition, 1,735 people apply for a loan fund but 904 people received a loan fund. So, loan rate was 52.1%. Third, business retention rate was 74.7% and close rate was 25.3%. Fourth, expert opinion was government support necessary for the in low-income disabled in social and economic situation of Korea. This study suggested that the loan purpose, loan amount, loan condition, simplified course were needed to consider when establishing policy for low-incone disabled.